| Deep object detection of crop weeds: Performance of YOLOv7 on a real case dataset from UAV images I Gallo, AU Rehman, RH Dehkordi, N Landro, R La Grassa, M Boschetti Remote Sensing 15 (2), 539, 2023 | 112 | 2023 |
| Image and text fusion for upmc food-101 using bert and cnns I Gallo, G Ria, N Landro, R La Grassa 2020 35th International Conference on Image and Vision Computing New Zealand …, 2020 | 51 | 2020 |
| Combining optimization methods using an adaptive meta optimizer N Landro, I Gallo, R La Grassa Algorithms, 2021 | 46* | 2021 |
| Are these birds similar: Learning branched networks for fine-grained representations S Nawaz, A Calefati, M Caraffini, N Landro, I Gallo 2019 International Conference on Image and Vision Computing New Zealand …, 2019 | 28 | 2019 |
| Learn class hierarchy using convolutional neural networks R La Grassa, I Gallo, N Landro Applied Intelligence 51 (10), 6622-6632, 2021 | 25 | 2021 |
| In-season and dynamic crop mapping using 3D convolution neural networks and sentinel-2 time series I Gallo, L Ranghetti, N Landro, R La Grassa, M Boschetti ISPRS Journal of Photogrammetry and Remote Sensing 195, 335-352, 2023 | 22 | 2023 |
| Two new datasets for italian-language abstractive text summarization N Landro, I Gallo, R La Grassa, E Federici Information 13 (5), 228, 2022 | 17 | 2022 |
| Food recommendations for reducing water footprint I Gallo, N Landro, R La Grassa, A Turconi Sustainability 14 (7), 3833, 2022 | 17 | 2022 |
| Sentinel 2 time series analysis with 3d feature pyramid network and time domain class activation intervals for crop mapping I Gallo, R La Grassa, N Landro, M Boschetti ISPRS International Journal of Geo-Information 10 (7), 483, 2021 | 10 | 2021 |
| OCmst: One-class novelty detection using convolutional neural network and minimum spanning trees R La Grassa, I Gallo, N Landro Pattern Recognition Letters 155, 114-120, 2022 | 8 | 2022 |
| An adversarial generative network designed for high-resolution monocular depth estimation from 2d hirise images of mars R La Grassa, I Gallo, C Re, G Cremonese, N Landro, C Pernechele, ... Remote Sensing 14 (18), 4619, 2022 | 7 | 2022 |
| σ2R loss: A weighted loss by multiplicative factors using sigmoidal functions R La Grassa, I Gallo, N Landro Neurocomputing 470, 217-225, 2022 | 5 | 2022 |
| Visual word embedding for text classification I Gallo, S Nawaz, N Landro, RL Grassainst International Conference on Pattern Recognition, 339-352, 2021 | 3 | 2021 |
| Picture What you Read I Gallo, S Nawaz, A Calefati, R La Grassa, N Landro 2019 Digital Image Computing: Techniques and Applications (DICTA), 1-7, 2019 | 3 | 2019 |
| Is one teacher model enough to transfer knowledge to a student model? N Landro, I Gallo, R La Grassa Algorithms 14 (11), 334, 2021 | 2 | 2021 |
| Dynamic decision boundary for one-class classifiers applied to non-uniformly sampled data R La Grassa, I Gallo, N Landro 2020 Digital Image Computing: Techniques and Applications (DICTA), 1-7, 2020 | 2 | 2020 |
| Enhancing crop segmentation in satellite image time-series with transformer networks I Gallo, M Gatti, N Landro, C Loschiavo, M Boschetti, R La Grassa, ... Sixteenth International Conference on Machine Vision (ICMV 2023) 13072, 62-69, 2024 | 1 | 2024 |
| Distortion-aware super-resolution for planetary exploration images N Landro, I Gallo, F Pelosi, R La Grassa, AU Rehman Sixteenth International Conference on Machine Vision (ICMV 2023) 13072, 305-312, 2024 | 1 | 2024 |
| EnGraf-Net: multiple granularity branch network with fine-coarse graft grained for classification task R La Grassa, I Gallo, N Landro International Conference on Computer Analysis of Images and Patterns, 393-402, 2021 | 1 | 2021 |
| Learning to Navigate in the Gaussian Mixture Surface R La Grassa, I Gallo, C Vetro, N Landro International Conference on Computer Analysis of Images and Patterns, 414-423, 2021 | 1 | 2021 |
Ignazio GalloAssistant Professor of Computer Science, University of Insubria, Varese, ItalyEmail verificata su uninsubria.it